多基站雷达信号级无源定位算法研究

发布时间：2018-11-24 12:31

【摘要】：发射源定位在电子战中占据着重要的地位,在日益复杂的电磁环境下,电子战争的加剧对定位精度的要求越来越高。传统的目标定位技术远远达不到日益增长的需要,采用大数据的信号级直接定位技术由于精度高,鲁棒性强等特点逐渐受到关注。对于非合作场景下的发射源无源定位,发射信号通常是未知的,现有直接定位技术忽略了发射信号的波形信息,没有考虑可以利用在雷达侦察及信号预处理过程中已知的先验信息来估计出发射信号,从而使用更多的信号信息来帮助提高定位精度。因此,在无源定位中,信号级直接定位技术的研究还不够充分,更多提高定位精度的方法应该被挖掘。本文围绕多基站雷达系统下发射源无源定位的问题,研究了基于发射信号估计的信号级直接定位方法,并提出了一些有效的解决思路和算法,其主要工作内容具体如下:1.针对多基站雷达系统下的无源定位问题,研究了基于到达时差的数据级定位方法和基于最大似然估计或最小二乘估计的信号级直接定位方法,并对两种算法进行了仿真分析。2.针对非合作场景下发射信号参数未知的这一问题,提出了一种基于短时傅里叶变换的联合估计信号参数和发射机位置的信号级直接定位算法。3.针对发射信号模型未知或发射信号不可参数表征的情况,采用非参数化的估计方法,结合主成分分析,提出联合估计发射信号波形和目标位置的信号级直接定位算法。通过计算机仿真验证了以上提出的多个算法,并对比分析了本文提出的基于信号估计的信号级直接定位算法的性能,结果表明,本文提出的算法相比同种情况下的原有信号级直接定位算法有极大的优势。
[Abstract]:Emitter location plays an important role in electronic warfare. In the increasingly complex electromagnetic environment, the requirements of positioning accuracy are becoming higher and higher due to the intensification of electronic warfare. The traditional target positioning technology is far from reaching the increasing demand. Because of its high precision and strong robustness, big data's signal-level direct positioning technology has been paid more and more attention. For passive location of emission source in non-cooperative scenario, the transmitted signal is usually unknown, and the existing direct location technology ignores the waveform information of the transmitted signal. The prior information known in radar reconnaissance and signal preprocessing can be used to estimate the transmitted signal without considering that more signal information can be used to improve the positioning accuracy. Therefore, in passive location, the research of signal level direct location technology is not enough, more methods to improve the positioning accuracy should be excavated. Focusing on the problem of passive location of transmit source in multi-base station radar system, this paper studies the direct localization method of signal level based on transmit signal estimation, and puts forward some effective solutions and algorithms. The main work of this paper is as follows: 1. In order to solve the problem of passive location in multi-base station radar systems, a data-level localization method based on time-of-arrival (TDOA) and a signal-level direct localization method based on maximum likelihood estimation or least square estimation are studied. The two algorithms are simulated and analyzed. 2. In order to solve the problem of unknown parameters of transmitted signals in non-cooperative scenarios, a joint estimation of signal parameters and transmitter location based on short-time Fourier transform is proposed. Aiming at the condition that the transmission signal model is unknown or the transmitted signal can not be parameterized, a signal level direct location algorithm for joint estimation of transmitted signal waveform and target location is proposed by using nonparametric estimation method and principal component analysis (PCA). Several algorithms are verified by computer simulation, and the performance of signal level direct location algorithm based on signal estimation is compared and analyzed. The results show that, The proposed algorithm has a great advantage over the original signal level direct location algorithm in the same situation.
【学位授予单位】：电子科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN95

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